All you need to know about model predictive control for buildings
It has been proven that advanced building control, like model predictive control (MPC), can
notably reduce the energy use and mitigate greenhouse gas emissions. However, despite …
notably reduce the energy use and mitigate greenhouse gas emissions. However, despite …
[HTML][HTML] Information fusion over network dynamics with unknown correlations: An overview
Unknown correlations (UCs) generally exist in a wide spectrum of practical multi-source
information fusion problems, and thereby, their corresponding fusion problems have …
information fusion problems, and thereby, their corresponding fusion problems have …
Probabilistic event-triggered policy for extended dissipative finite-time control of MJSs under cyber-attacks and actuator failures
This technical note investigates the problem of extended dissipative finite-time control for
Markov jump systems (MJSs) with cyber-attacks and actuator failures. A probabilistic event …
Markov jump systems (MJSs) with cyber-attacks and actuator failures. A probabilistic event …
Differentiable convex optimization layers
Recent work has shown how to embed differentiable optimization problems (that is,
problems whose solutions can be backpropagated through) as layers within deep learning …
problems whose solutions can be backpropagated through) as layers within deep learning …
[图书][B] Control systems and reinforcement learning
S Meyn - 2022 - books.google.com
A high school student can create deep Q-learning code to control her robot, without any
understanding of the meaning of'deep'or'Q', or why the code sometimes fails. This book is …
understanding of the meaning of'deep'or'Q', or why the code sometimes fails. This book is …
Toward a theoretical foundation of policy optimization for learning control policies
Gradient-based methods have been widely used for system design and optimization in
diverse application domains. Recently, there has been a renewed interest in studying …
diverse application domains. Recently, there has been a renewed interest in studying …
A framework of robust transmission design for IRS-aided MISO communications with imperfect cascaded channels
Intelligent reflection surface (IRS) has recently been recognized as a promising technique to
enhance the performance of wireless systems due to its ability of reconfiguring the signal …
enhance the performance of wireless systems due to its ability of reconfiguring the signal …
Gibson env: Real-world perception for embodied agents
Perception and being active (having a certain level of motion freedom) are closely tied.
Learning active perception and sensorimotor control in the physical world is cumbersome as …
Learning active perception and sensorimotor control in the physical world is cumbersome as …
A survey of inverse reinforcement learning: Challenges, methods and progress
Inverse reinforcement learning (IRL) is the problem of inferring the reward function of an
agent, given its policy or observed behavior. Analogous to RL, IRL is perceived both as a …
agent, given its policy or observed behavior. Analogous to RL, IRL is perceived both as a …
Distributed non-fragile set-membership filtering for nonlinear systems under fading channels and bias injection attacks
L Liu, L Ma, J Zhang, Y Bo - International Journal of Systems …, 2021 - Taylor & Francis
In this paper, the secure distributed set-membership filtering problem is investigated for
general nonlinear system over wireless sensor networks. For the purpose of getting close to …
general nonlinear system over wireless sensor networks. For the purpose of getting close to …